X-Git-Url: https://fleuret.org/cgi-bin/gitweb/gitweb.cgi?a=blobdiff_plain;f=sky.py;h=11641853d8e8081f1cc7d0cf63d112f1ba30b518;hb=60bf08d4197f2dd3a58bd900401c11d47225b0df;hp=e93c88a1a372c9f64aff923dfc063523ab38db5d;hpb=bfcef9a8c82ed45528601e85725166241bbee916;p=culture.git diff --git a/sky.py b/sky.py index e93c88a..1164185 100755 --- a/sky.py +++ b/sky.py @@ -44,12 +44,21 @@ class Sky(problem.Problem): "_" + "".join([chr(ord("A") + n) for n in range(len(colors) - 1)]) + "><" ) - def __init__(self, height=6, width=8, nb_birds=3, speed=1, nb_iterations=4): + def __init__( + self, + height=6, + width=8, + nb_birds=3, + speed=2, + nb_iterations=2, + avoid_collision=True, + ): self.height = height self.width = width self.nb_birds = nb_birds self.speed = speed self.nb_iterations = nb_iterations + self.avoid_collision = avoid_collision def direction_tokens(self): return self.token_forward, self.token_backward @@ -58,10 +67,6 @@ class Sky(problem.Problem): frame_sequences = [] for _ in tqdm.tqdm(range(nb), dynamic_ncols=True, desc="world generation"): - result = torch.zeros( - self.nb_iterations, self.height, self.width, dtype=torch.int64 - ) - i, j, vi, vj = ( torch.empty(self.nb_birds, dtype=torch.int64), torch.empty(self.nb_birds, dtype=torch.int64), @@ -69,49 +74,89 @@ class Sky(problem.Problem): torch.empty(self.nb_birds, dtype=torch.int64), ) + def collision_okay(): + if not self.avoid_collision: + return True + + count = torch.zeros(self.height, self.width, dtype=torch.int64) + + for n in range(self.nb_birds): + count[i[n], j[n]] += 1 + count[i[n] - vi[n], j[n]] += 1 + count[i[n], j[n] - vj[n]] += 1 + + return count.max() <= 1 + col = ( torch.randperm(self.colors.size(0) - 1)[: self.nb_birds].sort().values + 1 ) - for n in range(self.nb_birds): + while True: while True: - i[n] = torch.randint(self.height, (1,)) - j[n] = torch.randint(self.width, (1,)) - vm = torch.randint(4, (1,)) - vi[n], vj[n] = (vm % 2) * 2 - 1, (vm // 2) * 2 - 1 - if ( - i[n] - vi[n] >= 0 - and i[n] - vi[n] < self.height - and j[n] - vj[n] >= 0 - and j[n] - vj[n] < self.width - ): + for n in range(self.nb_birds): + while True: + i[n] = torch.randint(self.height, (1,)) + j[n] = torch.randint(self.width, (1,)) + vm = torch.randint(4, (1,)) + vi[n], vj[n] = (vm % 2) * 2 - 1, (vm // 2) * 2 - 1 + if ( + i[n] - vi[n] >= 0 + and i[n] - vi[n] < self.height + and j[n] - vj[n] >= 0 + and j[n] - vj[n] < self.width + ): + break + + if collision_okay(): break - for l in range(self.nb_iterations): - for n in range(self.nb_birds): - c = col[n] - result[l, i[n], j[n]] = c - result[l, i[n] - vi[n], j[n]] = c - result[l, i[n], j[n] - vj[n]] = c + result = torch.zeros( + self.nb_iterations * self.speed, + self.height, + self.width, + dtype=torch.int64, + ) - if (i[n] == 0 and vi[n] == -1) or ( - i[n] == self.height - 1 and vi[n] == 1 - ): - vi[n] = -vi[n] + fine = torch.empty(self.nb_iterations * self.speed) - if (j[n] == 0 and vj[n] == -1) or ( - j[n] == self.width - 1 and vj[n] == 1 - ): - vj[n] = -vj[n] + t_to_keep = ( + torch.arange(self.nb_iterations, device=result.device) * self.speed + ) + + for l in range(self.nb_iterations * self.speed): + fine[l] = collision_okay() + for n in range(self.nb_birds): + c = col[n] + result[l, i[n], j[n]] = c + result[l, i[n] - vi[n], j[n]] = c + result[l, i[n], j[n] - vj[n]] = c + + if (i[n] == 0 and vi[n] == -1) or ( + i[n] == self.height - 1 and vi[n] == 1 + ): + vi[n] = -vi[n] + + if (j[n] == 0 and vj[n] == -1) or ( + j[n] == self.width - 1 and vj[n] == 1 + ): + vj[n] = -vj[n] - i[n] += vi[n] - j[n] += vj[n] + i[n] += vi[n] + j[n] += vj[n] + + result = result[t_to_keep] + fine = fine[t_to_keep] + + if fine[-1]: + break frame_sequences.append(result) return frame_sequences + ###################################################################### + def generate_token_sequences(self, nb): frame_sequences = self.generate_frame_sequences(nb) @@ -256,12 +301,12 @@ class Sky(problem.Problem): if __name__ == "__main__": import time - sky = Sky(height=6, width=8, speed=1, nb_iterations=4) + sky = Sky(height=6, width=8, speed=4, nb_iterations=2) start_time = time.perf_counter() - seq = sky.generate_frame_sequences(nb=64) + token_sequences = sky.generate_token_sequences(nb=64) delay = time.perf_counter() - start_time - print(f"{seq.size(0)/delay:02f} seq/s") + print(f"{token_sequences.size(0)/delay:02f} seq/s") # print(sky.seq2str(seq[:4])) @@ -278,9 +323,9 @@ if __name__ == "__main__": # m = (torch.rand(seq.size()) < 0.05).long() # seq = (1 - m) * seq + m * 23 - print(seq.size()) - img = sky.seq2img(seq) - print(img.size()) + # print(seq.size()) + img = sky.seq2img(token_sequences) + # print(img.size()) torchvision.utils.save_image( img.float() / 255.0, "/tmp/world.png", nrow=6, padding=6, pad_value=0